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Crosstalk between DNA methylation and gene expression in colorectal cancer, a potential plasma biomarker for tracing this tumor

Mohammad Amin Kerachian, Ali Javadmanesh, Marjan Azghandi, Afsaneh Mojtabanezhad Shariatpanahi, Maryam Yassi, Ehsan Shams Davodly, Amin Talebi, Fatemeh Khadangi, Ghodratollah Soltani, Abdorasool Hayatbakhsh, Kamran Ghaffarzadegan

2020Scientific Reports61 citationsDOIOpen Access PDF

Abstract

Colorectal cancer (CRC), the second leading cause of cancer mortality, constitutes a significant global health burden. An accurate, noninvasive detection method for CRC as complement to colonoscopy could improve the effectiveness of treatment. In the present study, SureSelectXT Methyl-Seq was performed on cancerous and normal colon tissues and CLDN1, INHBA and SLC30A10 were found as candidate methylated genes. MethyLight assay was run on formalin-fixed paraffin-embedded (FFPE) and fresh case and control tissues to validate the methylation of the selected gene. The methylation was significantly different (p-values < 2.2e-16) with a sensitivity of 87.17%; at a specificity cut-off of 100% in FFPE tissues. Methylation studies on fresh tissues, indicated a sensitivity of 82.14% and a specificity cut-off of 92% (p-values = 1.163e-07). The biomarker performance was robust since, normal tissues indicated a significant 22.1-fold over-expression of the selected gene as compared to the corresponding CRC tissues (p-value < 2.2e-16) in the FFPE expression assay. In our plasma pilot study, evaluation of the tissue methylation marker in the circulating cell-free DNA, demonstrated that 9 out of 22 CRC samples and 20 out of 20 normal samples were identified correctly. In summary, there is a clinical feasibility that the offered methylated gene could serve as a candidate biomarker for CRC diagnostic purpose, although further exploration of our candidate gene is warranted.

Topics & Concepts

Colorectal cancerBiomarkerMethylationDNA methylationGeneGene expressionCancer researchBiologyCancerBiomarker discoveryMolecular biologyBioinformaticsComputational biologyGeneticsProteomicsEpigenetics and DNA MethylationGenetic factors in colorectal cancerColorectal Cancer Screening and Detection
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